Which neural network architecture is specifically designed to work with sequences of data, such as time series or natural language?
- Convolutional Neural Network (CNN)
- Recurrent Neural Network (RNN)
- Long Short-Term Memory (LSTM)
- Gated Recurrent Unit (GRU)
Recurrent Neural Networks (RNNs) are designed for sequential data. They maintain hidden states that capture sequential dependencies, making them suitable for time series and language modeling.
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